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Giang WC, Zheng H, Gibson B, Patel B, Ramirez-Zamora A, Winter S, Jeghers M, Li Y, Classen S. Does in-vehicle automation help individuals with Parkinson's disease? A preliminary analysis. Front Neurol 2023; 14:1225751. [PMID: 37900602 PMCID: PMC10603248 DOI: 10.3389/fneur.2023.1225751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/18/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction PD is a progressive neurodegenerative disorder that affects, according to the ICF, body systems (cognitive, visual, and motor), and functions (e.g., decreased executive functions, decreased visual acuity, impaired contrast sensitivity, decreased coordination)-all which impact driving performance, an instrumental activity of daily living in the domain of "Activity" and "Participation" according to the ICF. Although there is strong evidence of impaired driving performance in PD, few studies have explored the real-world benefits of in-vehicle automation technologies, such as in-vehicle information systems (IVIS) and advanced driver assistance systems (ADAS), for drivers with PD. These technologies hold potential to alleviate driving impairments, reduce errors, and improve overall performance, allowing individuals with PD to maintain their mobility and independence more safely and for longer periods. This preliminary study aimed to fill the gap in the literature by examining the impact of IVIS and ADAS on driving safety, as indicated by the number of driving errors made by people with PD in an on-road study. Methods Forty-five adults with diagnosed PD drove a 2019 Toyota Camry equipped with IVIS and ADAS features (Toyota Safety Sense 2.0) on a route containing highway and suburban roads. Participants drove half of the route with the IVIS and ADAS systems activated and the other half with the systems deactivated. Results The results suggest that systems that assume control of the driving task, such as adaptive cruise control, were most effective in reducing driving errors. Furthermore, individual differences in cognitive abilities, particularly memory, were significantly correlated with the total number of driving errors when the systems were deactivated, but no significant correlations were present when the systems were activated. Physical capability factors, such as rigidity and bradykinesia, were not significantly correlated with driving error. Discussion Taken together, these results show that in-vehicle driver automation systems can benefit drivers with PD and diminish the impact of individual differences in driver cognitive ability.
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Affiliation(s)
- Wayne C.W. Giang
- Department of Industrial and Systems Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, United States
| | - Haolan Zheng
- Department of Industrial and Systems Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, United States
| | - Beth Gibson
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Bhavana Patel
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Adolfo Ramirez-Zamora
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Sandra Winter
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Mary Jeghers
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Yuan Li
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Sherrilene Classen
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
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Makhoul K, Jankovic J. Driving Impairment in Movement Disorders. Mov Disord Clin Pract 2023; 10:369-381. [PMID: 36949799 PMCID: PMC10026316 DOI: 10.1002/mdc3.13676] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 01/29/2023] Open
Abstract
Background Driving may be adversely affected by any movement disorder, but has been mostly studied in Parkinson's disease (PD). Few studies have addressed driving impairment in patients with Huntington's disease (HD); driving in other movement disorders such as dystonia, blepharospasm and Tourette syndrome (TS) has not been adequately evaluated. Objectives The aim of this review is to summarize the findings of driving impairment in movement disorders and evaluate the usefulness of clinical tools in guiding clinicians whether to refer patients for driving assessment. Methods A review of literature was performed on PubMed and articles on driving and movement disorders were identified using a Boolean phrase. Results We were able to identify 66 articles that fulfilled the target subject: impairment of driving in PD, cervical dystonia, blepharospasm, HD and TS. We also included articles discussing the role of driving rehabilitation in patients with movement disorders. Conclusions Driving is often impaired in patients with PD and other movement disorders not only due to motor symptoms but also because of cognitive and behavioral co-morbidities. Certain screening tools may be helpful in guiding the clinician in referring the patients for driving assessment.
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Affiliation(s)
- Karim Makhoul
- Parkinson's Disease Center and Movement Disorders Clinic, Department of NeurologyBaylor College of MedicineHoustonTexasUSA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of NeurologyBaylor College of MedicineHoustonTexasUSA
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Kalu ME, Bello-Haas VD, Griffin M, Boamah S, Harris J, Zaide M, Rayner D, Khattab N, Abrahim S, Richardson TK, Savatteri N, Wang Y, Tkachyk C. Cognitive, psychological and social factors associated with older adults' mobility: a scoping review of self-report and performance-based measures. Psychogeriatrics 2022; 22:553-573. [PMID: 35535013 DOI: 10.1111/psyg.12848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 11/28/2022]
Abstract
Although many factors have been associated with mobility among older adults, there is paucity of research that explores the complexity of factors that influence mobility. This review aims to synthesise the available evidence for factors comprising the cognitive, psychological, and social mobility determinants and their associations with mobility self-reported and performance-based outcomes in older adults (60 years). We followed Arksey and O'Malley's five stages of a scoping review and searched PubMed, EMBASE, PsychINFO, Web of Science, AgeLine, Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health Literature and Sociological Abstract databases. Reviewers in pairs independently conducted title, abstract, full-text screening and data extraction. We reported associations by analyses rather than articles because articles reported multiple associations for factors and several mobility outcomes. Associations were categorised as significantly positive, negative, or not significant. We included 183 peer-reviewed articles published in 27 countries, most of which were cross-sectional studies and conducted among community-dwelling older adults. The 183 articles reported 630 analyses, of which 381 (60.5%) were significantly associated with mobility outcomes in the expected direction. For example, older adults with higher cognitive functioning such as better executive functioning had better mobility outcomes (e.g., faster gait speed), and those with poor psychological outcomes, such as depressive symptoms, or social outcomes such as reduced social network, had poorer mobility outcomes (e.g., slower gait speed) compared to their counterparts. Studies exploring the association between cognitive factors, personality (a psychological factor) and self-reported mobility outcomes (e.g., walking for transportation or driving), and social factors and performance-based mobility outcomes in older adults are limited. Understanding the additive relationships between cognitive, psychological, and social factors highlights the complexity of older adults' mobility across different forms of mobility, including independence, use of assistive devices, transportation, and driving.
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Affiliation(s)
- Michael E Kalu
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Vanina Dal Bello-Haas
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Meridith Griffin
- Department of Health, Aging & Society, Faculty of Social Science, McMaster University, Hamilton, Ontario, Canada
| | - Sheila Boamah
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Jocelyn Harris
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Mashal Zaide
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Daniel Rayner
- Department of Health Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Nura Khattab
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Salma Abrahim
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Ontario, Canada
| | | | | | - Yimo Wang
- Myodetox Markham, Markham, Ontario, Canada
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